Update app.py

app.py

@@ -462,7 +462,6 @@ css = """
 with gr.Blocks(css=css) as demo:
     # description
     gr.Markdown(title)
-    gr.Markdown(description)
 
     with gr.Row():
         with gr.Column():
@@ -471,11 +470,6 @@ with gr.Blocks(css=css) as demo:
                 face_file = gr.Image(
                     label="Upload a photo of your face", type="filepath"
                 )
-                # optional: upload a reference pose image
-                pose_file = gr.Image(
-                    label="Upload a reference pose image (Optional)",
-                    type="filepath",
-                )
 
             # prompt
             prompt = gr.Textbox(
@@ -486,32 +480,38 @@ with gr.Blocks(css=css) as demo:
             )
 
             submit = gr.Button("Submit", variant="primary")
-            enable_LCM = gr.Checkbox(
-                label="Enable Fast Inference with LCM", value=enable_lcm_arg,
-                info="LCM speeds up the inference step, the trade-off is the quality of the generated image. It performs better with portrait face images rather than distant faces",
-            )
-            style = gr.Dropdown(
-                label="Style template",
-                choices=STYLE_NAMES,
-                value=DEFAULT_STYLE_NAME,
-            )
+            with gr.Accordion("Advanced options", open=False):
+                enable_LCM = gr.Checkbox(
+                    label="Enable Fast Inference with LCM", value=enable_lcm_arg,
+                    info="LCM speeds up the inference step, the trade-off is the quality of the generated image. It performs better with portrait face images rather than distant faces",
+                )
+                style = gr.Dropdown(
+                    label="Style template",
+                    choices=STYLE_NAMES,
+                    value=DEFAULT_STYLE_NAME,
+                )
 
-            # strength
-            identitynet_strength_ratio = gr.Slider(
-                label="IdentityNet strength (for fidelity)",
-                minimum=0,
-                maximum=1.5,
-                step=0.05,
-                value=0.80,
-            )
-            adapter_strength_ratio = gr.Slider(
-                label="Image adapter strength (for detail)",
-                minimum=0,
-                maximum=1.5,
-                step=0.05,
-                value=0.80,
-            )
-            with gr.Accordion("Controlnet"):
+                # strength
+                identitynet_strength_ratio = gr.Slider(
+                    label="IdentityNet strength (for fidelity)",
+                    minimum=0,
+                    maximum=1.5,
+                    step=0.05,
+                    value=0.80,
+                )
+                adapter_strength_ratio = gr.Slider(
+                    label="Image adapter strength (for detail)",
+                    minimum=0,
+                    maximum=1.5,
+                    step=0.05,
+                    value=0.80,
+                )
+            with gr.Accordion("Controlnet", open=False):
+                # optional: upload a reference pose image
+                pose_file = gr.Image(
+                    label="Upload a reference pose image (Optional)",
+                    type="filepath",
+                )
                 controlnet_selection = gr.CheckboxGroup(
                     ["canny", "depth"], label="Controlnet", value=[],
                     info="Use pose for skeleton inference, canny for edge detection, and depth for depth map estimation. You can try all three to control the generation process"